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| import numpy
| import soundfile as sf
| from modelscope.pipelines import pipeline
| from modelscope.utils.constant import Tasks
|
| input = 'https://modelscope.cn/api/v1/models/damo/speech_separation_mossformer_8k_pytorch/repo?Revision=master&FilePath=examples/mix_speech1.wav'
| separation = pipeline(
| Tasks.funasr_speech_separation,
| model='damo/speech_separation_mossformer_8k_pytorch',
| output_dir='./',
| model_revision='v1.0.1')
| result = separation(audio_in=input)
| for i, signal in enumerate(result):
| save_file = f'output_spk_{i+1}.wav'
| sf.write(save_file, signal, 8000)
|
|
